Student Performance Data Analysis

This project analyzes a dataset of student academic performance to uncover insights into factors that influence scores.

Tools Used

• Python
• Pandas
• Seaborn
• Matplotlib

Objectives

• Perform Exploratory Data Analysis (EDA)
• Visualize trends and patterns in the data
• Identify correlations between features and student performance

How to Run

1. Clone the repository
2. Run student_analysis.ipynb in Jupyter Notebook or Google Colab

Dataset

A sample student performance dataset is used. Replace it with any CSV having features like study time, parental education, etc.